Using finetuned whisper checkpoints for inference

[skanda1005]

Hi!
I have been trying for a long time to get inference on the finetuned model but it keeps throwing an error saying that tokenizer is missing.

Steps to reproduce:

from transformers import pipeline

pipe = pipeline("automatic-speech-recognition",model="nodlehs/whisper_finetune")  # change to "your-username/the-name-you-picked"

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

It seems I am missing a tokenizer file but while running the whisper finetune, no such file was uploaded
Could someone please help me out?

P.S this is my model on hf https://huggingface.co/nodlehs/whisper_finetune/tree/main

[Vaibhavs10]

Hi @skanda1005 - There appears to be an issue with the way your model was uploaded on the hub. The tokenizer is missing. Might be a good diea to ensure that all the files are there in your model repo.